Dr. Alma Y. Alanis
University of Guadalajara
+1
'%3e%3cpath%20d='M22.1642%2019.0924C21.7317%2018.068%2021.1041%2017.1375%2020.3163%2016.3527C19.5309%2015.5656%2018.6006%2014.9381%2017.5766%2014.5048C17.5674%2014.5002%2017.5582%2014.4979%2017.5491%2014.4933C18.9774%2013.4616%2019.9059%2011.7811%2019.9059%209.88504C19.9059%206.74408%2017.3611%204.19922%2014.2201%204.19922C11.0792%204.19922%208.53429%206.74408%208.53429%209.88504C8.53429%2011.7811%209.46282%2013.4616%2010.8912%2014.4956C10.882%2014.5002%2010.8728%2014.5025%2010.8636%2014.5071C9.83652%2014.9404%208.91487%2015.5617%208.1239%2016.355C7.33685%2017.1404%206.70933%2018.0707%206.276%2019.0947C5.85031%2020.0972%205.62072%2021.172%205.59967%2022.2609C5.59905%2022.2853%205.60335%2022.3097%205.61229%2022.3325C5.62123%2022.3553%205.63465%2022.376%205.65174%2022.3935C5.66883%2022.4111%205.68926%2022.425%205.71182%2022.4345C5.73437%2022.444%205.7586%2022.4489%205.78308%2022.4489H7.15868C7.25956%2022.4489%207.3398%2022.3686%207.3421%2022.2701C7.38795%2020.5001%208.09868%2018.8425%209.35506%2017.5861C10.655%2016.2862%2012.3814%2015.5709%2014.2201%2015.5709C16.0588%2015.5709%2017.7852%2016.2862%2019.0852%2017.5861C20.3415%2018.8425%2021.0523%2020.5001%2021.0981%2022.2701C21.1004%2022.3709%2021.1807%2022.4489%2021.2815%2022.4489H22.6571C22.6816%2022.4489%2022.7058%2022.444%2022.7284%2022.4345C22.751%2022.425%2022.7714%2022.4111%2022.7885%2022.3935C22.8056%2022.376%2022.819%2022.3553%2022.8279%2022.3325C22.8369%2022.3097%2022.8412%2022.2853%2022.8406%2022.2609C22.8176%2021.165%2022.5907%2020.0989%2022.1642%2019.0924ZM14.2201%2013.8284C13.1678%2013.8284%2012.1773%2013.418%2011.4322%2012.6729C10.6871%2011.9278%2010.2767%2010.9374%2010.2767%209.88504C10.2767%208.83271%2010.6871%207.84227%2011.4322%207.09715C12.1773%206.35204%2013.1678%205.94165%2014.2201%205.94165C15.2724%205.94165%2016.2629%206.35204%2017.008%207.09715C17.7531%207.84227%2018.1635%208.83271%2018.1635%209.88504C18.1635%2010.9374%2017.7531%2011.9278%2017.008%2012.6729C16.2629%2013.418%2015.2724%2013.8284%2014.2201%2013.8284Z'%20fill='%238590A2'/%3e%3c/g%3e%3c/svg%3e)
Co-authors
Following
Followers
Research Focus & Metrics
Explore full metrics on Scilit
Academic Career Length
22Years (2005-Present)
(Calculated once Scilit publication data is synced: current year − year of first publication + 1)
Representative Publications
View All Publications9 July 2007 in IEEE Transactions on Neural Networks
Journal Article
Alma Y. AlanisESEdgar N. Sanchez
Edgar N. Sanchez
ALAlexander G. Loukianov
Alexander G. Loukianov
This paper deals with adaptive tracking for discrete-time multiple-input-multiple-output (MIMO) nonlinear systems in presence of bounded disturbances. In this paper, a high-order neural network (HONN) structure is used to approximate a control law designed by the backstepping technique, applied to a block strict feedback form (BSFF). This paper also includes the respective stability analysis, on the basis of the Lyapunov approach, for the whole controlled system, including the extended Kalman filter (EKF)-based NN learning algorithm. Applicability of the scheme is illustrated via simulation for a discrete-time nonlinear model of an electric induction motor.
14 February 2018 in IEEE Latin America Transactions
Journal Article
Alma Y. AlanisThis paper presents the results of the use of training algorithms for recurrent neural networks based on the extended Kalman filter and its use in electric energy price prediction, for both cases: one-step ahead and n-step ahead. In addition, it is included the stability proof using the well-known Lyapunov methodology, for the proposed artificial neural network trained with an algorithm based on the extended Kalman filter. Finally, the applicability of the proposed prediction scheme is shown by mean of the one-step ahead and n-step ahead prediction using data from the European power system.
1 September 2018 in Engineering Applications of Artificial Intelligence
Journal Article
CLCarlos Lopez-Franco
Carlos Lopez-Franco
JHJesus Hernandez-Barragan
Jesus Hernandez-Barragan
Alma Y. AlanisNANancy Arana-Daniel
Nancy Arana-Daniel
14 April 2009 in IEEE Transactions on Control Systems Technology
Journal Article
Alma Y. AlanisESEdgar N. Sanchez
Edgar N. Sanchez
ALAlexander G. Loukianov
Alexander G. Loukianov
Marco Antonio Perez-CisnerosThis paper deals with real-time adaptive tracking for discrete-time induction motors in the presence of bounded disturbances. A high-order neural-network structure is used to identify the plant model, and based on this model, a discrete-time control law is derived, which combines discrete-time block-control and sliding-mode techniques. This paper also includes the respective stability analysis for the whole system with a strategy to avoid adaptive weight zero-crossing. The scheme is implemented in real time using a three-phase induction motor.
1 August 2012 in Applied Soft Computing
Journal Article
MHM. Hernandez-Gonzalez
M. Hernandez-Gonzalez
Alma Y. AlanisEHEsteban Hernandez-Vargas
Esteban Hernandez-Vargas1 January 2018 in International Journal of Advanced Robotic Systems
Journal Article
CLCarlos López-Franco
Carlos López-Franco
JBJose de Jesus Hernandez Barragan
Jose de Jesus Hernandez BarraganAlma Y. Alanis
Nancy Arana-DanielMLMichel Lopez-Franco
Michel Lopez-FrancoThe solution of the inverse kinematics of mobile manipulators is a fundamental capability to solve problems such as path planning, visual-guided motion, object grasping, and so on. In this article, we present a metaheuristic approach to solve the inverse kinematic problem of mobile manipulators. In this approach, we represent the robot kinematics using the Denavit–Hartenberg model. The algorithm is able to solve the inverse kinematic problem taking into account the mobile platform. The proposed approach is able to avoid singularities configurations, since it does not require the inversion of a Jacobian matrix. Those are two of the main drawbacks to solve inverse kinematics through traditional approaches. Applicability of the proposed approach is illustrated using simulation results as well as experimental ones using an omnidirectional mobile manipulator.
About Me
ALMA Y. ALANIS (Senior Member, IEEE)
received a Ph.D.degree in electrical engineering from the Advanced Studies and
Research Center of the National Polytechnic Institute (CINVESTAV-IPN),
Guadalajara Campus, Mexico, in 2004 and 2007, respectively. Since 2008, she has
been with the University of Guadalajara, where she is currently a Chair
Professor with the Department of Computer Science. From 2016 to 2019, she was
the dean of the Ph.D. Program of Electronic and Computer Sciences. She has
published papers in recognized international journals and conferences, as well as
five international books. Her research interests include neural control,
backstepping control, block control, and their applications to electrical
machines, power systems, and robotics. She is a member of the Mexican National
Research System (SNI-2) and the Mexican Academy of Sciences. Since 2008, she
has been a member of the Accredited Assessors record RCEA-CONACYT, evaluating a
wide range of national research projects, andshe has belonged to important
project evaluation committees of national and international research projects.
She is serving on a number of IEEE and IFAC conference organizing committees.
In 2013, she received the Grant for Women in Science by
L’Oreal-UNESCO-AMC-CONACYT-CONALMEX. In 2015, she received the Research Award
Marcos Moshinsky. She is a Subject Editor of the Journal of The Franklin
Institute (Elsevier) and the IEEE/ASME TRANSACTIONSON MECHATRONICS.